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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst | Pennsylvania

Pittsburgh Analytics Group
Pittsburgh
Estimated Salary
USD 25 – USD 45
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Are you a data-driven professional seeking the flexibility of part-time work? Pittsburgh Analytics Group is looking for a talented Part-Time Data Analyst to support our mission of delivering actionable business intelligence.

In this role, you will collaborate with our senior analysts to interpret complex datasets, build robust reporting models, and present insights that drive growth. We value autonomy and precision, offering a dynamic environment where your analytical skills will make a tangible impact.

Responsibilities

  • Data Acquisition & Cleaning: Gather and preprocess data from various sources, ensuring accuracy and consistency before analysis.
  • Statistical Analysis: Apply statistical methods and modeling techniques to identify trends, patterns, and anomalies.
  • Dashboard Creation: Design and maintain interactive dashboards in Tableau or Power BI to visualize key performance indicators (KPIs).
  • Report Generation: Create comprehensive reports and executive summaries for stakeholders, translating technical findings into business value.
  • Database Querying: Utilize SQL to extract data and support ad-hoc analytical requests.
  • Process Improvement: Identify opportunities to streamline data workflows and improve reporting efficiency.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
  • Experience: 1-3 years of experience in data analysis, preferably in a part-time or consulting capacity.
  • Technical Proficiency: Strong command of SQL; experience with Python or R is highly desirable.
  • Visualization Tools: Proven experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex data to non-technical audiences.
  • Attention to Detail: High level of accuracy and a critical eye for detail in data interpretation.

Required Skills

SQL Python Tableau Power BI Data Analysis Statistics Excel Data Cleaning Reporting

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